Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies
Arbutus unedo L. (strawberry tree) has showed considerable content in phenolic compounds, especially flavan-3-ols (catechin, gallocatechin, among others). The interest of flavan-3-ols has increased due their bioactive actions, namely antioxidant and antimicrobial activities, and by association of their consumption to diverse health benefits including the prevention of obesity, cardiovascular diseases or cancer. These compounds, mainly catechin, have been showed potential for use as natural preservative in foodstuffs; however, their degradation is increased by pH and temperature of processing and storage, which can limit their use by food industry. To model the degradation kinetics of these compounds under different conditions of storage, three kinds of machine learning models were developed: i) random forest, ii) support vector machine and iii) artificial neural network. The selected models can be used to track the kinetics of the different compounds and properties under study without the prior knowledge requirement of the reaction system. ; The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES to CIMO, Portugal (UIDB/00690/2020); L. Barros thanks the national funding by FCT, P.I., through the institutional scientific employment program-contract. The authors are also grateful to FEDER-Interreg VA España-Portugal (POCTEP) programme for financial support through the project 0377_Iberphenol_6_E and TRANSCoLAB 0612_TRANS_CO_LAB_2_P. G. Astray thanks to the University of Vigo for his contract “Programa de retención de talento investigador da Universidade de Vigo para o 2018” with budget application 0000 131H TAL 641. M.A. Prieto thanks to the MICINN for the financial support for the Ramón and Cajal grant. G. Astray thanks to RapidMiner GmbH. for the Free and Educational version of RapidMiner Studio software. ; info:eu-repo/semantics/publishedVersion
Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies
Arbutus unedo L. (strawberry tree) has showed considerable content in phenolic compounds, especially flavan-3-ols (catechin, gallocatechin, among others). The interest of flavan-3-ols has increased due their bioactive actions, namely antioxidant and antimicrobial activities, and by association of their consumption to diverse health benefits including the prevention of obesity, cardiovascular diseases or cancer. These compounds, mainly catechin, have been showed potential for use as natural preservative in foodstuffs; however, their degradation is increased by pH and temperature of processing and storage, which can limit their use by food industry. To model the degradation kinetics of these compounds under different conditions of storage, three kinds of machine learning models were developed: i) random forest, ii) support vector machine and iii) artificial neural network. The selected models can be used to track the kinetics of the different compounds and properties under study without the prior knowledge requirement of the reaction system. ; The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES to CIMO, Portugal (UIDB/00690/2020); L. Barros thanks the national funding by FCT, P.I., through the institutional scientific employment program-contract. The authors are also grateful to FEDER-Interreg VA España-Portugal (POCTEP) programme for financial support through the project 0377_Iberphenol_6_E and TRANSCoLAB 0612_TRANS_CO_LAB_2_P. G. Astray thanks to the University of Vigo for his contract “Programa de retención de talento investigador da Universidade de Vigo para o 2018” with budget application 0000 131H TAL 641. M.A. Prieto thanks to the MICINN for the financial support for the Ramón and Cajal grant. G. Astray thanks to RapidMiner GmbH. for the Free and Educational version of RapidMiner Studio software. ; info:eu-repo/semantics/publishedVersion
Stability assessment of extracts obtained from Arbutus unedo L. fruits in powder and solution systems using machine-learning methodologies
Astray, Gonzalo (Autor:in) / Albuquerque, Bianca R. (Autor:in) / Prieto Lage, Miguel A. (Autor:in) / Simal-Gandara, Jesus (Autor:in) / Ferreira, Isabel C.F.R. (Autor:in) / Barros, Lillian (Autor:in)
01.01.2020
doi:10.1016/j.foodchem.2020.127460
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
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